Development of a risk assessment method for sustainable construction of megaprojects

Thesis Type: Postgraduate

Institution Of The Thesis: Middle East Technical University, Graduate School of Natural and Applied Sciences, Turkey

Approval Date: 2019

Thesis Language: English


Principal Supervisor (For Co-Supervisor Theses): Mustafa Talat Birgönül

Co-Supervisor: İrem Dikmen Toker


Mega projects are large-scaled and long-term investments. Therefore, they have significant impacts on national economy in micro and macro scale, environment and society in comparison to the small and medium-sized construction projects. Time, cost and quality are the most common criteria that are utilized to evaluate the performance of the construction projects, yet those criteria become insufficient to evaluate the mega construction projects’ success. These projects have a long life-cycle from the planning stage to the demolition phase of the project and significant impacts on environmental and social consequences. For this reason, three pillars of sustainable construction objectives which are economic, environmental and social sustainability should be integrated into the mega construction projects, and it should be aimed to obtained a sustainable outcome for the whole life-cycle of the mega construction projects with the integration of those objectives. On the other hand, there are various risk factors that threaten the achievement of the sustainable construction objectives. The present study proposes a risk assessment method for sustainable construction of megaprojects (RAMSCOM). For this purpose, sustainable construction objectives and risk factors are identified through the literature review. Then, the relationships among sustainable construction objectives and risk factors are presented in a conceptual framework. Subsequently, relationships among objectives and risk factors are quantified in order to analyze the threats for the sustainable construction objectives and enhance decision making process in advance. Finally, the usability of the proposed model is tested on a real construction megaproject and findings regarding the megaproject are discussed.